Aitele ResearchVol. 1 · No. 11 — 2026

Journal of theCommons

The peer-reviewed journal of Aitele Research — the breakthroughs of the Commons, and the use cases built upon them. Closed to the Commons while a result matures; opened to the world the moment it reaches the field.

New research, released as it is written and placed under Commons review ahead of formal peer review. The journal updates continuously; finalized work is later collected into a numbered edition.

PreprintPosted on clearing Commons scrutiny — round-one review is open.BreakthroughA breakthrough — a new result others can build upon.

Closed-Form Figure Placement — Training-Free Document Layout

Where should a figure go? Most layout engines either drop figures at the end of a document, spread them mechanically, or anchor them to the first place the text says "Figure 1". We ask whether the *document's own statistics* can decide, in closed form, without any training. In the spirit of Reverse Synthetic Networks — where the data synthesises the model directly — we synthesise each figure's position from three statistics of the manuscript itself: the TF-IDF affinity between the figure's caption and each block of running text, the proximity to any explicit lexical reference, and a small set of layout priors. There is no loss function, no gradient, and no learned parameters. On a controlled 600-document corpus (1,903 figures) drawn from the Aitele Commons' research domains, the closed-form placer reaches 92.5% top-1 placement accuracy and a mean position error of 0.18 sections, against 60.9% for a reference-only baseline and ~22% for content-blind baselines. The decisive result is on unreferenced figures — those the prose never names: here the closed-form affinity recovers 85.1% of placements, where the reference-only method collapses to 21.7% (essentially chance). Closed-form caption–text affinity, in other words, supplies the reference the author forgot to write. The same machinery groups related figures into multi-panel composites (pair-F1 0.99, 97.7% of groups recovered exactly), assigns column-spanning width for a balanced two-column page, and — extended to in-text citations — places each reference at the sentence it supports with 90.6% accuracy (vs ~15% for position-based baselines) and splices the grouped markers into the prose. The library ships with a 34-test suite (unit, edge-case, randomised-invariant, determinism, and a 1,200-block stress test). We report the method, the experiment, and its limitations honestly: the corpus is topically separated, the metrics are layout proxies rather than human aesthetic judgement, and page-overflow is out of scope.

Shashank Taxak · AI & Machine Learning

Breakthroughs and the implementations built upon them — the peer-reviewed record of the Commons.

ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

StochastiCore: A Complete GPU Architecture Based on Stochastic Computing With Yosys-Verified Synthesis, Gate-Level Power, and a Deterministic-Generator Study

Wamique Hossain, Dilip Kumar Burnwal, Shashank Taxak
ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

Financial Markets as Programmable Computation Substrates

Wamique Hossain, Shashank Taxak
ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

A uniform verdict on the K2-18 b dimethyl-sulfide claim and a population-scale biosignature census of the JWST exoplanet atmosphere archive

Shashank Taxak
ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

Heavy-hex-native bivariate bicycle codes from evolutionary and LLM-guided search

Wamique Hossain, Sushant Maji, Dilip Kumar Burnwal, Shashank Taxak
ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

Enforcing Detailed Balance Reveals Systematic Thermodynamic Inconsistencies in Whole-Cell Models

Wamique Hossain, Sushant Maji, Dilip Kumar Burnwal, Shashank Taxak
ResearchBreakthroughA breakthrough — a new result others can build upon.In peer reviewCleared the Commons round; under the AI panel and external review.

Reverse Synthetic Networks: Training-Free Models in Closed Form

Shashank Taxak

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